China has made significant progress in artificial intelligence (AI) in recent years but still lags behind the United States in some key areas. In a recent article for The Economist, author Ding Xueliang argues that several factors, including a lack of data, talent, and infrastructure, will likely constrain China's AI ambitions.

A lack of data is one of the biggest challenges facing China's AI efforts. The Chinese government has been cracking down on collecting personal data essential for training AI models. As a result, Chinese AI firms have less data to work with than their American counterparts.

Another challenge facing China's AI ambitions is a lack of talent. There is a shortage of AI engineers and scientists in China, and the government has struggled to attract top talent from abroad. As a result, Chinese AI firms are often forced to hire less experienced engineers, which can lead to delays and setbacks.

Finally, China's AI ambitions are also constrained by a lack of infrastructure. China's internet is not as fast or reliable as the internet in the United States, making it difficult for AI firms to train and deploy their models. Additionally, China's power grid is not as robust as the power grid in the United States, making it difficult for AI firms to operate their data centers.

Despite these challenges, China is still making progress in AI. The government has invested heavily in AI research and development, and Chinese AI firms are starting to make their mark on the global stage. However, it is unlikely that China will be able to catch up to the United States in AI anytime soon.

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